Discover the world of Management Information Systems (MIS) and its real-life applications. Learn the necessary skills for a successful career in MIS. Read more.
Hi! My name is Fahad Masood Reda, an MIS (Management Information Systems) and Data Science Mentor and a life coach, from Saudi Arabia. I hold a BSc in MIS and Masters in Computer Information systems in the field of Data Science from King Abdulaziz University. In 2008 I started mentoring MIS students locally and in 2014 I started my blog(TheMIS)so I can reach more people, Now I mentor and teach in the field of MIS and Data Science and WordPress Globally via meetups and Online webinars, and my blo
Access all courses in our library for only $9/month with All Access Pass
Get Started with All Access PassBuy Only This CourseAbout This Course
Who this course is for:
- Any MIS student who wants to know more about MIS
- Current MIS students
- Graduate MIS students who are facing difficulties in getting a job
- Any IT/C/IS/MIS Student who wants to prepare for a job
What you’ll learn:Â
- What is MIS/CIS
- What to do while studying MIS/CIS
- What to do before graduating
- What to do after graduating
- How to get ready for a job
Requirements:Â
- No prior knowledge is required to take this course
Are you currently a Management Information Systems (MIS) student or considering entering the field of MIS? Perhaps you’re about to graduate and find yourself clueless about what MIS entails, the types of jobs you should pursue, and the necessary skills you should acquire before completing your studies. Additionally, you may be curious about how MIS is utilized within companies. If any of these scenarios resonate with you, then this course is specifically designed to address your concerns.
Throughout this course, you will gain valuable insights into the following topics:
- Understanding the fundamental concept of MIS.
- Exploring real-life examples that illustrate the practical applications of MIS.
- Familiarizing yourself with the courses taught in both MIS and CIS (Computer Information Systems).
- Identifying the key responsibilities and tasks you should undertake during your study of MIS.
- Learning about the essential actions you should take prior to graduating from an MIS program.
- Discovering the recommended steps to take once you have completed your MIS degree.
Please note that this course is part of a larger curriculum that will be released at a later time. The reason for releasing this particular section early is due to the high number of inquiries from MIS/CIS students seeking answers to these specific questions. It is my hope that you find this course informative and engaging. If you appreciate its content, kindly consider leaving a review.
Wishing you all the best in your academic and professional endeavors.
Sincerely,
Fahad Masood Reda
Our Promise to You
By the end of this course, you will have learned what to do while studying Management Information Systems.
10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today!
Course Curriculum
| Section 1 - Introduction | |||
| Introduction | 00:00:00 | ||
| Watch This Before Enrolling To This Course | 00:00:00 | ||
| Course Outline | 00:00:00 | ||
| Get To Know Your Instructor | 00:00:00 | ||
| Section 2 - Your Journey Begins Here! | |||
| What Is MIS – With Real Example | 00:00:00 | ||
| What To Do While Studying | 00:00:00 | ||
| Your Journey As MIS Student | 00:00:00 | ||
| Section 3 - Data Science Crash Course | |||
| Course Outline | 00:00:00 | ||
| What Is Data Science | 00:00:00 | ||
| AI Vs ML Vs DL Vs DS | 00:00:00 | ||
| Traditional Programming Vs Machine Learning | 00:00:00 | ||
| Supervised Vs Unsupervised Learning | 00:00:00 | ||
| Supervised Learning | 00:00:00 | ||
| Examples Of Supervised Learning | 00:00:00 | ||
| Unsupervised Learning | 00:00:00 | ||
| Examples Of Unsupervised Learning | 00:00:00 | ||
| Data Science Application | 00:00:00 | ||
| Machine Learning Terminologies | 00:00:00 | ||
| Machine Learning Terminologies In Details Part 1 | 00:00:00 | ||
| Machine Learning Terminologies In Details Part 2 | 00:00:00 | ||
| Data Science Workflow Part 1 | 00:00:00 | ||
| Data Science Workflow Part 2 | 00:00:00 | ||
| Data Sources And Data Types | 00:00:00 | ||
| DS Vs DA Vs MLE Vs DE | 00:00:00 | ||
| Skills Needed To Become A Data Scientist | 00:00:00 | ||
| How To Study Data Science | 00:00:00 | ||
About This Course
Who this course is for:
- Any MIS student who wants to know more about MIS
- Current MIS students
- Graduate MIS students who are facing difficulties in getting a job
- Any IT/C/IS/MIS Student who wants to prepare for a job
What you’ll learn:Â
- What is MIS/CIS
- What to do while studying MIS/CIS
- What to do before graduating
- What to do after graduating
- How to get ready for a job
Requirements:Â
- No prior knowledge is required to take this course
Are you currently a Management Information Systems (MIS) student or considering entering the field of MIS? Perhaps you’re about to graduate and find yourself clueless about what MIS entails, the types of jobs you should pursue, and the necessary skills you should acquire before completing your studies. Additionally, you may be curious about how MIS is utilized within companies. If any of these scenarios resonate with you, then this course is specifically designed to address your concerns.
Throughout this course, you will gain valuable insights into the following topics:
- Understanding the fundamental concept of MIS.
- Exploring real-life examples that illustrate the practical applications of MIS.
- Familiarizing yourself with the courses taught in both MIS and CIS (Computer Information Systems).
- Identifying the key responsibilities and tasks you should undertake during your study of MIS.
- Learning about the essential actions you should take prior to graduating from an MIS program.
- Discovering the recommended steps to take once you have completed your MIS degree.
Please note that this course is part of a larger curriculum that will be released at a later time. The reason for releasing this particular section early is due to the high number of inquiries from MIS/CIS students seeking answers to these specific questions. It is my hope that you find this course informative and engaging. If you appreciate its content, kindly consider leaving a review.
Wishing you all the best in your academic and professional endeavors.
Sincerely,
Fahad Masood Reda
Our Promise to You
By the end of this course, you will have learned what to do while studying Management Information Systems.
10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today!
Course Curriculum
| Section 1 - Introduction | |||
| Introduction | 00:00:00 | ||
| Watch This Before Enrolling To This Course | 00:00:00 | ||
| Course Outline | 00:00:00 | ||
| Get To Know Your Instructor | 00:00:00 | ||
| Section 2 - Your Journey Begins Here! | |||
| What Is MIS – With Real Example | 00:00:00 | ||
| What To Do While Studying | 00:00:00 | ||
| Your Journey As MIS Student | 00:00:00 | ||
| Section 3 - Data Science Crash Course | |||
| Course Outline | 00:00:00 | ||
| What Is Data Science | 00:00:00 | ||
| AI Vs ML Vs DL Vs DS | 00:00:00 | ||
| Traditional Programming Vs Machine Learning | 00:00:00 | ||
| Supervised Vs Unsupervised Learning | 00:00:00 | ||
| Supervised Learning | 00:00:00 | ||
| Examples Of Supervised Learning | 00:00:00 | ||
| Unsupervised Learning | 00:00:00 | ||
| Examples Of Unsupervised Learning | 00:00:00 | ||
| Data Science Application | 00:00:00 | ||
| Machine Learning Terminologies | 00:00:00 | ||
| Machine Learning Terminologies In Details Part 1 | 00:00:00 | ||
| Machine Learning Terminologies In Details Part 2 | 00:00:00 | ||
| Data Science Workflow Part 1 | 00:00:00 | ||
| Data Science Workflow Part 2 | 00:00:00 | ||
| Data Sources And Data Types | 00:00:00 | ||
| DS Vs DA Vs MLE Vs DE | 00:00:00 | ||
| Skills Needed To Become A Data Scientist | 00:00:00 | ||
| How To Study Data Science | 00:00:00 | ||
Related Courses
Are you interested in higher education?
All Rights Reserved